Travel time filtering method based on probability statistics
A travel time and screening method technology, applied in computing, instrumentation, data processing applications, etc., can solve problems such as not having strong statistical significance, and achieve the effect of ensuring accuracy and reducing impact
Inactive Publication Date: 2015-05-06
深圳市千方航实科技有限公司
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[0005] These data have a relatively large impact on the analysis of the frequency distribution of passenger travel time, which makes the data not have strong statistical significance when solving the massive data analysis of passenger travel time. Therefore, it is necessary to screen the original data to make the data more in line with engineering requirements.
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[0017] The screening method for the original data of passenger travel time mainly includes the following two layers of screening:
[0018] 1. Filter extremely abnormal data. Screen out abnormal calculation data that do not conform to the travel time distribution. For example, due to a system error, the travel time of passengers is less than the running time of the train, which is obviously extremely abnormal data; The travel time is as long as several hours or even more than ten hours, which is also extremely abnormal data. These extremely abnormal data should be screened out.
[0019] 2. Filter statistical abnormal data. For the needs of engineering and theory, when solving the massive data analysis of passenger travel time, it is necessary to make the distribution of passenger travel time present a statistical distribution with mathematical laws (it has been proved to be an approximate normal distribution), and it is necessary to screen some data that deviate from the norm...
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The invention provides a travel time filtering method based on probability statistics. The filtering method of original passenger travel time data mainly comprises the following two filtering steps of: (1) filtering extreme abnormal data: filtering calculation abnormal data disagreeable to travel time distribution and filtering extreme abnormal data caused when passenger travel time data is smaller than the operation time of a train because of system errors or the travel time of staff for counting passengers reaches several to dozen hours because of special travel aims of passengers; and (2) filtering statistical abnormal data. For the needs of engineering and theories, passenger travel time distribution needs to present statistical distribution according with a mathematical law when massive passenger travel time data is analyzed, and partial data deviated from in normal distribution needs to be filtered.
Description
technical field [0001] The invention relates to a travel time screening method, in particular to a travel time screening method based on probability statistics. Background technique [0002] In terms of rail transit, the statistics of the travel time of rail transit passengers between two stations has an important impact on solving the massive data analysis of passenger travel time. Therefore, the processing method of the existing original data is very important. Although most of the data conform to the travel time distribution, the travel time of passengers has a wide distribution (from a few seconds to tens of thousands of seconds), and some data are abnormal due to reasons such as passengers stranded in the subway or system errors. Abnormal data mainly includes two types: [0003] Extremely abnormal data: Extremely abnormal travel time due to system errors or special behaviors of passengers (such as counting passenger flow at subway stations, waiting for companions, etc...
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IPC IPC(8): G06Q50/14
Inventor 冷彪张琪徐州川熊璋
Owner 深圳市千方航实科技有限公司